Integrating the Monitoring of Agricultural Pests into Biodiversity Assessments
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Transcript of Integrating the Monitoring of Agricultural Pests into Biodiversity Assessments
Integrating the Integrating the Monitoring of Agricultural Pests Monitoring of Agricultural Pests into Biodiversity Assessmentsinto Biodiversity Assessments
Gail E. KampmeierIllinois Natural History Survey
Institute of Natural Resource SustainabilityUniversity of Illinois at Urbana-Champaign
Agriculture as a Measure of Biodiversity
Traditionally, agriculture = downgraded
ecosystem a poor relation to the ideal
biodiverse ecosystem of "Nature" Agriculture has its own
challenges Reduced diversity - easily
discovered by pests Monocultures - species, cultivars Spatial regularity - row crops,
crowding Selection pressure: environment
modified by use of pesticides, resistant cultivars, planting date
Wealth of Data
Aside from scientists interested in conservation of genetics of crops & their wild relatives, few agricultural scientists see the value of their data to the biodiversity community Value in peer-reviewed publications, not data
publication Concern about losing control of their dataset
Biodiversity community has traditionally only paid attention to what is stored in museums or databanks
Land Managers, Climate Change Specialists Need
More than one-off collections of taxa Sampling biased by
collector, but not always apparent
Need measures over time of Presence and absence Diversity
Under varying conditions
Agricultural Research has Rich Data Heritage
Purposefully constructed hypotheses tested in Variety of (controlled) habitats
& (uncontrollable) abiotic conditions
Replicated experimental designs Examine effects of manipulation
of the environment on species behavior
Samples taken at uniform intervals over seasons, years
Integrated Pest Management Sets an economic
threshold for making decisions on strategies for maintaining pests at, or below a threshold of economic loss (economic injury level)
The choice of strategies can conserve Biodiversity Water, air, & soil quality money
Brewer, et. al. 2009. Opportunities, experiences, Brewer, et. al. 2009. Opportunities, experiences, and strategies to connect integrated pest and strategies to connect integrated pest management to U.S. Department of Agriculture management to U.S. Department of Agriculture Conservation programs. Conservation programs. American Entomologist American Entomologist 55(3):140-146.55(3):140-146.
Aphids - Pucerons - Afidos
Direct pests of plants Vectors of plant viruses Produce honeydew
Food source for ants, predators, & parasitoids
Molds Damage to crops depends on
when & in what numbers they appear in the field
Complex life cycleComplex life cycleMacrosiphum rosaeMacrosiphum rosae photo courtesy Alex Wild 2008, photo courtesy Alex Wild 2008, http://myrmecos.wordpress.com/
Aphids Move Walking
Intraplant Interplant
Flying Intrafield Interfield Migration over 100s of
kilometersCartoon by John SherrodCartoon by John Sherrod
Tracking the Russian
wheat aphid
Bugs = "Angel Echoes"
CHILL Radar CHILL Radar located in located in Greeley, Greeley, ColoradoColorado
Tracking Aphids at Elevations Above Ground Level (AGL)
Air temperature Insects, including
aphids accumulate at or in inversions (temperatures are warmer than the air below)
Wind speed Below jet, aphids local In jet, had traveled
overnight from sources 240-400 km south from overwintering populations
Mapping to Darwin CorePresence/Absence ObservationsTaxon informationSampling units known volume of
airLarge amount of related
observations of air temperature, radar observations
Soybean Aphid: Invasive Species in North America
Direct pest of soybean
Suction trap network set up in U.S. Midwest Prediction of
infestation level Indicator to
farmers to scout for signs of aphids
http://www.ncipmc.org/traps/index.cfm
Soybean Aphid Central
http://www.inhs.illinois.edu/programs/aphids.html#soybeanaphid
Weekly Data Flights arriving late
August built up on late soybean, leaving in September as soybean dried down & flying to Rhamnus
Soybean Aphids Swarm
Photo courtesy Alex Wild 2009, Photo courtesy Alex Wild 2009, http://myrmecos.wordpress.com/
Date Date 20092009
DeKalbDeKalb MetamoraMetamora UrbanaUrbana Dixon Dixon SpringsSprings
31 July31 July 00 00 00 0007 Aug07 Aug 33 11 00 0014 Aug14 Aug 2121 2020 33 7721 Aug21 Aug 3737 -- 2020 2228 Aug28 Aug 210210 188188 3939 515104 Sept04 Sept 4141 8080 1515 16616611 Sept11 Sept 88 3030 3333 111118 Sept18 Sept 680680 86008600 10001000 141425 Sept25 Sept 91869186 53755375 1828018280 2929
Weekly Suction Trap Counts in Illinois
Implications of Darwin Core for Agricultural Data
Simple Darwin Core Most agricultural
data fit rows/columns
Fields used only once
No minimum/ maximum data
Will include samples with 0 to multiple observations for a taxon
Challenges Human observations
(not preserved) thus not given an identifier
Asked to think about data in unaccustomed ways
Asked to document items usually noted once in a field notebook
Example of SimpleDarwinRecord
Easier to use Excel spreadsheet or create a database template to export to Excel
Challenges Mixture of
observations & vouchered specimens
Results buried in literature
Little or no metadata for raw data
Scientists have little incentive to go to extra trouble to share
Conclusions If we want to incorporate
agricultural datasets into our biodiversity assessments, we will need to work with these scientists to make it easy to provide their data in a format that is fit for use by the biodiversity community. Biocontrol in action!Biocontrol in action!
Aphis nerii being eaten by a syrphid Aphis nerii being eaten by a syrphid fly larva. Photo courtesy Alex Wildfly larva. Photo courtesy Alex Wild
How do we do this? Jim Case provided in talk earlier today,
Bring groups together Provide introductory guides (documents) Provide links to resources Registry system Discussion forums bring users together
And engage the cooperation of journals to provide a home for data with its metadata
Acknowledgments Illinois Department of Energy
and Natural Resources Illinois Natural History Survey Illinois State Water Survey University of Illinois North Central Regional IPM National Science Foundation Hatch ILLU-370 Global Biodiversity Information
Facility Biodiversity Information
Standards (TDWG)